Abrar Admin

Aegistech

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 Responsibilities:
 
 
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 Opportunity hunting and workflow redesign
 
 &ndash; Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
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 Process and data maturity assessment
 
 &ndash; Evaluate each jobsite&rsquo;s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
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 Assess the market solutions
 
 &ndash; Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
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 Rapid AI-agent builds
 
 &ndash; Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
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 Enterprise-grade engineering &amp; LLMOps
 
 &ndash; Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
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 Data integrations
 
 &ndash; Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
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 Cross-cloud orchestration
 
 &ndash; Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
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 Change enablement
 
 &ndash; Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
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 Stakeholder communication
 
 &ndash; Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for &ldquo;Construction Site of the Future.&rdquo;
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 Escalation &amp; hand-off
 
 &ndash; Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.
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 Qualifications:
 
 
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 4+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
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 Bachelor&rsquo;s in CS, Engineering, Physics, or a related field; Master&rsquo;s preferred.
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 Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.
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 Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
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 Strong facilitation and communication skills.
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 Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
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 Programming &amp; data stack: Python, SQL, Databricks Lakehouse, vector stores.
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 DevOps &amp; IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
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 Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
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 Willing and able to travel and work on active job sites.
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</div>

Site AI Engineer

Join Aegistech and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Aegistech

About Company

Site AI Engineer

Site AI Engineer